Daniel-André Duecker

Orcid: 0000-0001-7256-6984

Affiliations:
  • Technical University of Munich (TUM), Munich Institute of Robotics and Machine Intelligence (MIRMI), Germany


According to our database1, Daniel-André Duecker authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SVan: A Mobile Hub as a Field Robotics Development and Deployment Platform.
CoRR, 2024

Autonomous UAV Mission Cycling: A Mobile Hub Approach for Precise Landings and Continuous Operations in Challenging Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Predicting against the Flow: Boosting Source Localization by Means of Field Belief Modeling using Upstream Source Proximity.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Estimation of External Force acting on Underwater Robots.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Evaluation of Underwater AprilTag Localization for Highly Agile Micro Underwater Robots.
IROS, 2023

Towards Full Actuation: Reconfigurable Micro Underwater Robots.
IROS, 2023

Image-Based Visual Servoing Switchable Leader-follower Control of Heterogeneous Multi-agent Underwater Robot System.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
UWRange: An Open ROS Framework for Simulating Acoustic Ranging and Localization for Underwater Robots under Realistic Conditions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Embedded Stochastic Field Exploration with Micro Diving Agents using Bayesian Optimization-Guided Tree-Search and GMRFs.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

From Aerobatics to Hydrobatics: Agile Trajectory Planning and Tracking for Micro Underwater Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Localisation of Unmanned Underwater Vehicles (UUVs) in Complex and Confined Environments: A Review.
Sensors, 2020

Experimental Study on Reinforcement Learning-based Control of an Acrobot.
CoRR, 2020

Predictability of Vibration Loads From Experimental Data by Means of Reduced Vehicle Models and Machine Learning.
IEEE Access, 2020

Towards Micro Robot Hydrobatics: Vision-based Guidance, Navigation, and Control for Agile Underwater Vehicles in Confined Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control.
Sensors, 2019

Towards an Open-Source Micro Robot Oceanarium: A Low-Cost, Modular, and Mobile Underwater Motion-Capture System.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

An Integrated Approach to Navigation and Control in Micro Underwater Robotics using Radio-Frequency Localization.
Proceedings of the International Conference on Robotics and Automation, 2019

Towards Reinforcement Learning-based Control of an Energy Harvesting Pendulum.
Proceedings of the 17th European Control Conference, 2019

2018
Micro Underwater Vehicle Hydrobatics: A Submerged Furuta Pendulum.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Reinforcement Learning of Depth Stabilization with a Micro Diving Agent.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Embedded Spherical Localization for Micro Underwater Vehicles Based on Attenuation of Electro-Magnetic Carrier Signals.
Sensors, 2017

Low-cost monocular localization with active markers for micro autonomous underwater vehicles.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


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